VR-based batter training system with motion sensing and performance visualization

Kosuke Takahashi; Dan Mikami; Mariko Isogawa; Yoshinori Kusachi; Naoki Saijo

doi:10.1109/VR.2019.8798005

VR-based batter training system with motion sensing and performance visualization

Kosuke Takahashi, Dan Mikami, Mariko Isogawa, Yoshinori Kusachi, Naoki Saijo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper aims to establish a novel VR system for evaluating the performance of baseball batters. Existing VR systems for sports have been utilized as a tool for image training. In order to move such VR systems to the next stage, we introduce functions that sense the users' reaction to the VR stimulus. Our VR system has three features; (a) it synthesizes highly realistic VR video from the data captured in actual games, (b) it estimates the reaction of the user to the VR stimulus by capturing the 3D positions of full body parts, and (c) it consists of off-the-shelf devices and is easy to use. Our demonstration provides users with a chance to experience our VR system and give them some quick feedback by visualizing the estimated 3D positions of their body parts.

Original language	English
Title of host publication	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1353-1354
Number of pages	2
ISBN (Electronic)	9781728113777
DOIs	https://doi.org/10.1109/VR.2019.8798005
Publication status	Published - 2019 Mar
Externally published	Yes
Event	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan Duration: 2019 Mar 23 → 2019 Mar 27

Publication series

Name	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Country/Territory	Japan
City	Osaka
Period	19/3/23 → 19/3/27

Keywords

Centered computing
Centered computing
Human
Human com
Puter interactioninteraction paradigms
Virtual reality human
Visualization
Visualization design and evaluation methods

ASJC Scopus subject areas

Human-Computer Interaction
Media Technology

Access to Document

10.1109/VR.2019.8798005

Cite this

Takahashi, K., Mikami, D., Isogawa, M., Kusachi, Y., & Saijo, N. (2019). VR-based batter training system with motion sensing and performance visualization. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings (pp. 1353-1354). [8798005] (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VR.2019.8798005

VR-based batter training system with motion sensing and performance visualization. / Takahashi, Kosuke; Mikami, Dan; Isogawa, Mariko et al.
26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1353-1354 8798005 (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takahashi, K, Mikami, D, Isogawa, M, Kusachi, Y & Saijo, N 2019, VR-based batter training system with motion sensing and performance visualization. in 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings., 8798005, 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1353-1354, 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, 19/3/23. https://doi.org/10.1109/VR.2019.8798005

Takahashi K, Mikami D, Isogawa M, Kusachi Y, Saijo N. VR-based batter training system with motion sensing and performance visualization. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1353-1354. 8798005. (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings). doi: 10.1109/VR.2019.8798005

Takahashi, Kosuke ; Mikami, Dan ; Isogawa, Mariko et al. / VR-based batter training system with motion sensing and performance visualization. 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1353-1354 (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings).

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abstract = "This paper aims to establish a novel VR system for evaluating the performance of baseball batters. Existing VR systems for sports have been utilized as a tool for image training. In order to move such VR systems to the next stage, we introduce functions that sense the users' reaction to the VR stimulus. Our VR system has three features; (a) it synthesizes highly realistic VR video from the data captured in actual games, (b) it estimates the reaction of the user to the VR stimulus by capturing the 3D positions of full body parts, and (c) it consists of off-the-shelf devices and is easy to use. Our demonstration provides users with a chance to experience our VR system and give them some quick feedback by visualizing the estimated 3D positions of their body parts.",

keywords = "Centered computing, Centered computing, Human, Human com, Puter interactioninteraction paradigms, Virtual reality human, Visualization, Visualization design and evaluation methods",

author = "Kosuke Takahashi and Dan Mikami and Mariko Isogawa and Yoshinori Kusachi and Naoki Saijo",

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AB - This paper aims to establish a novel VR system for evaluating the performance of baseball batters. Existing VR systems for sports have been utilized as a tool for image training. In order to move such VR systems to the next stage, we introduce functions that sense the users' reaction to the VR stimulus. Our VR system has three features; (a) it synthesizes highly realistic VR video from the data captured in actual games, (b) it estimates the reaction of the user to the VR stimulus by capturing the 3D positions of full body parts, and (c) it consists of off-the-shelf devices and is easy to use. Our demonstration provides users with a chance to experience our VR system and give them some quick feedback by visualizing the estimated 3D positions of their body parts.

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VR-based batter training system with motion sensing and performance visualization

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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